In this lab, we delve into data processing capabilities of Flink. We will explore components like Kafka, Postgres, and Spark, witnessing how they collaborate in efficient data pipelines. The concept of parallelism and its impact on Flink jobs will be demystified. Throughout the session, we will highlight key features and considerations for managing sizable Flink pipelines. To top it off, we will run a live popularity contest, showcasing Flink in action. Gain a swift understanding of Flink capabilities and optimization strategies in this hands-on lab.[Recorded Nov 30, 2023]